12:40 to 12:45 | Zoom Room Opens | |||
Session 1: (Chair: Carola-Bibiane Schönlieb (Cantab Capital Institute for the Mathematics of Information)) | 12:45 to 13:00 | Introduction |
Carola-Bibiane Schönlieb (University of Cambridge), (Cambridge Mathematics of Information in Healthcare) Silvia Stanescu (GAM Investments) |
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13:00 to 13:30 | AI Can’t Fix This: Happenstance Data, Modelling, and the Covid19 Pandemic | Neil Lawrence (University of Cambridge) | ||
13:30 to 14:00 | Bayesian Machine Learning and Forecasting of the COVID-19 Pandemic Based on Stochastic Compartment Models | Ronojoy Adhikari (University of Cambridge) | ||
14:00 to 14:15 | Break | |||
Session 2: (Chair: Hamza Fawzi (Cantab Capital Institute for the Mathematics of Information)) | 14:15 to 14:25 | Elevator Pitch | Andela Sarkovic (University of Cambridge) | |
14:25 to 14:35 | Elevator Pitch - Time Series, Causality Indices and Covid-19 | Tom Edinburgh (Cantab Capital Institute for the Mathematics of Information) | ||
14:35 to 14:45 | Elevator Pitch - Seagulls - Stop (the Covid) Now | Torben Sell (Cantab Capital Institute for the Mathematics of Information), (University of Edinburgh) | ||
14:45 to 14:55 | Elevator Pitch | Jan Stanczuk (University of Cambridge) | ||
14:55 to 15:05 | Elevator Pitch - Incorporation Bias in Medical Machine Learning Models | Derek Driggs (Cantab Capital Institute for the Mathematics of Information) | ||
15:05 to 15:30 | Poster Presentations and Discussion | |||
15:30 to 15:45 | Break | |||
Session 3: (Chair: Silvia Stanescu (GAM Investments) | 15:45 to 16:15 | Lessons from the Pandemic for Machine Learning and Medical Imaging | Michael Roberts (University of Cambridge) | |
16:15 to 16:45 | Modelling to Inform the UK COVID-19 Pandemic Response: from Academia to Policy | Louise Dyson (University of Warwick) | ||
16:45 to 17:00 | Poster Prize and Final Remarks | Carola-Bibiane Schönlieb (University of Cambridge), (Cambridge Mathematics of Information in Healthcare) |